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Información tecnológica

versión On-line ISSN 0718-0764

Resumen

MARINO, Perfecto; PASTORIZA, Vicente; SANTAMARIA, Miguel  y  MARTINEZ, Emilio. Fuzzy System to inspect Can End Repair Coating in Canmaking Industry. Inf. tecnol. [online]. 2006, vol.17, n.4, pp.17-22. ISSN 0718-0764.  http://dx.doi.org/10.4067/S0718-07642006000400004.

An automatic online inspection system, based on machine vision, has been developed to improve the easyopen can end repair coating quality control in canmaking industry and canneries. The machine vision algorithm estimates the average repair coating quality on each end using a fuzzy system. In this work the algorithm and the fuzzy system building via neuro-fuzzy modeling is presented. The inspection system checks the total production, classifies the ends in agreement with an expert human inspector, supplies interpretability to the operators in order to find out the failure causes and reduce the mean time needed to solve failures, and allows to modify the minimum can end repair coating quality. The algorithm allows the inspection of the whole production process and can be extended to other can end formats.

Palabras clave : machine vision; fuzzy system; can end repair coating; canmaking industry.

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